P. Sivakumar ¹, B. Vinod ², R. S. Sandhya Devi ³, E. R. Jayasakthi Rajkumar ¹

Affiliations
1 Department of Electrical and Electronics Engineering, PSG College of Technology, Peelamedu, Coimbatore - 641004, Tamil Nadu, IN
2 Department of Robotics and Automation Engineering, PSG College of Technology, Peelamedu, Coimbatore - 641004, Tamil Nadu, IN
3 Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Chinnavedampatti, Coimbatore - 641049, Tamil Nadu, IN

Abstract

This paper is gives a clear idea about MATLAB based toolboxes for scheduling various real-time problems and to examine the performance of the system prior to its implementation. Two different MATLAB based toolboxes-TORSCHE (Time Optimization of Resources, SCHEduling) and True Time used offers a collection of data structures that allows the user to analyze various issues in resource sharing and scheduling. Further in real-time environment, these simulators are used to obtain an optimum performance by providing a platform to extend the design methodologies and to meet the requirements as demanded by the application with limited resources. Algorithms are implemented either as MATLAB function with fixed structure or as MATLAB function with middle level language constructs. Two modules are designed and simulated for each toolbox. Using True Time Toolbox, fixed priority scheduling algorithm module and CAN networking of four different kernels are simulated and results are analyzed. Using TORSCHE toolbox timing parameter for each task is analyzed for two different scenarios. Finally, a simulation model is built by using True Time toolbox and TORSCHE in MATLAB platform. The toolboxes are intended mainly for research purpose to handle and control scheduling issues in real-time systems. The result indicates that the simulators aids in improving scheduler accuracy and strengthen the real-time character of the system. Using this approach it is possible to evaluate and modify controller designs and hardware platforms to better understand the performance and timing effects.

Keywords

Deadline, Kernel, Real-Time, Task, True Time, TORSCHE

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C. V. Reshma ¹, S. R. Balasubramanian ², K. Balaji Rao ², Rupen Goswami ³, P. Sivakumar ²

Affiliations
1 SCMS School of Engineering and Technology (SSET), Ernakulam - 683582, Kerala, IN
2 CSIR - Structural Engineering Research Centre, Taramani, Chennai - 600020, Tamil Nadu, IN
3 IIT Madras, Chennai - 600036, Tamil Nadu, IN

Abstract

Seismic fragility analysis of Un-reinforced Brick Masonry (URBM) Buildings is useful for determining the possible extent of damage in the event of an earthquake. It is known that there are uncertainties with respect to both the mechanical properties of masonry and the characteristics of earthquake ground motion. This paper presents sensitivity studies: by considering Weibull distribution as candidate distribution for compressive strengths of brick and mortar and varying the Coefficient of Variation (COV); and by using 12 different earthquakes time histories available in the strong motion atlas of India separately. For this purpose a one room, single storey URBM building has been considered and the fragility curves have been obtained by integrating Improved storey shear modelling, Monte Carlo simulation and Incremental dynamic analysis. From the study, it has been observed that while using the Weibull distribution as candidate distribution for mechanical properties of masonry, fragility curves of URBM buildings are not significantly affected by the COV whereas they are sensitive to the choice of earthquake ground motion. Fragility curves obtained using different earthquake time histories show three bands. For the suite of earthquake time histories considered in this study, the observed fragilities are generally increasing with the epicentral distance. In other words observed fragilities corresponding to the far-field earthquake time histories are generally higher than those corresponding to the near-field earthquake time histories. Thus, for vulnerability analysis, selection of suite of earthquake time histories judiciously is more important than modelling the statistical variations in mechanical properties of masonry.

Keywords

Coefficient of Variation, Incremental Dynamic Analysis, Seismic Fagility Curves, Sensitivity, Unreinforced Brick Masonry, Weibull Distribution

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G. Murugadass ¹, P. Sivakumar ², G. Vinodhini ²

Affiliations
1 Anna University, Chennai - 600025, Tamil Nadu, IN
2 ECE, Embedded System Technologies, S.K.P. Engineering College, Tiruvannamalai - 606611, Tamil Nadu, IN

Abstract

Wireless Sensor Networks (WSNs) have been mostly considered with improvements in ubiquitous computing environment. The supply of a sensor node is limited, so it is essential to use energy-efficient routing protocol in WSNs. Energy consumption can be maintained to certain threshold level, so that no individual nodes can go dry beyond that certain level. Here we suggest each node to behave active and idle states, so that average energy level of whole network can be maintained. In SPAN-AODV protocol, we will compute the procedure to identify the nodes, which losing its energy earlier than other. We isolate those nodes below threshold energy from communication. Packet transmission has done only through energy nodes, even non-energy nodes present at accessible distance to communicate. In this paper we compare SPAN-AODV, EDDEEC (Enhanced Developed Distributed Energy-Efficient Clustering) and CATER-AODV (SPAN-AODV implemented in caterpillar network) through performance analysis and the result shows that CATER-AODV is 21% more efficient than EDDEEC and 17% more efficient than SPAN-AODV in terms of residual energy, network lifetime and traffic size.

Keywords

CATER-AODV, EDDEEC Routing Protocols, Network Lifetime, Residual Energy, SPAN-AODV Routing Protocols, Threshold Level, Traffic Size, Wireless Sensor Network.

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S. P. Meenakshi ¹, P. Sivakumar ¹, P. Ilango ¹

Affiliations
1 School of Computer Science and Engineering, VIT University, Vellore - 632014, Tamil Nadu, IN

Abstract

Objectives: This study carried out a systematic review on the literature that evaluated the various health promotion interventions based on social networking sites such as Facebook, Twitter and YouTube. Statistical Analysis: In social media, user messages carry the traits of health related activities such as interactions, emotional support, vaccination campaigns and nutrition improvement. These types of traits in the social media can be leveraged to identify the audience and effective approaches for health related activities. The work analysed the user engagement in each platform, behaviour and response efficacies achieved, targeted audience for different interventions, effectiveness of each platform and technologies used in the studies. Findings: The evaluation studies conducted on health interventions using social media for vaccination, smoking cessation, heart disease and sexually transmitted infections are reviewed. There are eight items used including response efficacy and behaviour efficacy to report about the target audience on social media for health campaigns. The target audience are identified using age or ethnicity. Implementing a social marketing approach through social media to initiate interest and engagement for a web-based software package is both hands-on and reliable with the way young individuals practice the media to share ideas and promote them, thus the intervention was considered a central focus of a greater campaign. Objective measures such as behaviour change and response are measured using summative and outcome evaluations. The technologies used for data collection and analysis substantiate the relevant technique for individual media, variables considered for particular disease health intervention, statistical models, survey methods and randomized control trials. The evidences from the studies reveal that Facebook and YouTube can be effectively used to target audience at the age group of nineteen – twenty-nine for smoking cessation and sexually transmitted health care interventions. Based on the evidences, the suitable social networking sites were identified for the targeted audience to the specific disease health interventions. Applications/Improvements: To build healthcare educated online communities in the social media, auto message feature and auto feedback system can help to increase the audience interaction. Vaccination healthcare intervention studies suggest on the road to increasing the reliability of the contents and educating the audience with the positive impacts of vaccination.

Keywords

Behaviour Efficacy, Health Hazards, Health Interventions, Health Promotion, Targeted Audience, Vaccination

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